Table of Contents
- Why Organisations Need Better Evidence Before Improving Processes
- How Value Analysis Identifies Process Waste and Improvement Opportunities
- How Impact Analysis Reveals the Effects of Process Changes
- Why Both Value and Impact Analysis Matter
- Accelerate Value and Impact Analysis With the Power of AI
- Better Analysis Creates Better Improvement Decisions
- Frequently Asked Questions
Summary
Value Analysis helps answer the first part by revealing how process activities contribute to customer and business value and where non-value-adding work exists. Impact Analysis addresses the second by providing visibility into the broader effects of a proposed change. Together, value and impact analysis with time, cost, efficiency, and future-state analysis give organisations a stronger basis for prioritising process improvements and making change decisions with greater confidence.
A simple objective of implementing a process improvement initiative is to find what is not working and how to fix it. Ultimately, improving processes means deciding where to invest your time, resources, and effort.
The challenge is that process problems rarely exist in isolation.
A process may have unnecessary activities, excessive waiting time, reworks, or costly manual tasks. But when you try to improve any such area that contains inefficiencies, you need to focus on other factors as well, such as people, systems, rules, and processes connected to it. Without understanding both equations, you can risk investing in improvements that solve one problem while creating another. You may also end up spending valuable resources on changes that will deliver only limited value.
A better approach is to begin by answering two questions:
Where can we create more value? And what could be affected if we make the change?
Why Organisations Need Better Evidence Before Improving Processes
Identifying an inefficient process is easy. You can use a process mapping tool to map your current processes quickly, and after reviewing what is happening, you can quickly flag inefficiencies. However, deciding which improvements are worth pursuing requires deeper consideration.
A process may contain delays, unnecessary activities, excessive handoffs, or repetitive work, but these issues do not automatically indicate where your teams should focus their improvement effort. Their significance depends on many factors such as how frequently the process is performed, how much time and cost it consumes, and how much of that effort actually contributes to value.
This is the reason your process improvement decisions need to go beyond simply identifying surface problems. Analysing value, time, cost and efficiency can reveal the scale and nature of an opportunity. It can provide a clearer basis for deciding where improvement effort is likely to have the greatest effect.
It can also help distinguish between an issue that needs immediate attention and one that may have limited impact on overall process performance.
This matters because every organisation wants to achieve more with less. They need to be able to identify the areas where change is most likely to improve performance, reduce waste or create greater value rather than treating every process issue as an equal priority.
That requires moving beyond simply asking “What is inefficient?” and asking more meaningful questions:
- Where is process effort being spent?
- How much of that effort contributes to customer or business value?
- Where are time and cost being consumed unnecessarily?
- Which activities are creating waste?
- Where is there meaningful potential to improve the process?
How Value Analysis Identifies Process Waste and Improvement Opportunities
Value Analysis examines a process beyond the sequence of activities and finds out the value each activity adds to reach the final outcome. It is an easier way to distinguish work that contributes to customer or business outcomes from work that consumes time and resources without creating sufficient value.
This assessment typically separates activities into three categories:
Customer Value Adding (CVA): Activities that directly contribute to what the customer needs or expects.
Business Value Adding (BVA): Activities that may not directly create customer value but are necessary for the business, such as regulatory, policy or control-related activities.
Non-Value Adding (NVA): Activities that consume time and resources without contributing customer value or being necessary for the business.
This classification provides a more meaningful view of where process effort is being directed. It also prevents a common mistake in process improvement: assuming that every activity that does not directly benefit the customer is a waste. Some activities exist because they fulfil regulatory, control, or business requirements and therefore need to remain.
Turning Value Analysis Into Improvement Opportunities
Once these patterns are visible, the next question is how the work could be performed more effectively.
Depending on the nature of the activity, the opportunity may involve:
- Eliminating unnecessary work
- Simplifying a complex activity
- Combining related activities
- Reducing rework or repetition
- Automating suitable manual or rule-based work
The appropriate response depends on why the activity exists and how it connects to the wider process. An activity that appears inefficient may have a necessary business purpose, while another may exist simply because the process has evolved over time
Value Analysis therefore provides a clearer basis for deciding where improvement opportunities exist. It helps organisations move from seeing waste in a process to understanding where changing the way work is performed could create greater value.
How Impact Analysis Reveals the Effects of Process Changes
Impact Analysis examines the potential effects of changing a process by tracing its relationships with the wider process environment. It helps organisations see the areas that need to be considered before a proposed change moves into implementation.
Before making changes to any process, it is important to understand its impact. Impact analysis helps your organisation to examine the potential effects of changing a process by tracing its connections with the wider operation. It gives sees
Trace the Ripple Effect of a Process Change
A change to one activity can extend beyond the immediate workflow. For example, changing an approval step may affect the role responsible for it, the documents associated with the approval, the business rule behind it, or another process that depends on its outcome.
Tracing these relationships helps reveal dependencies that may not be obvious when looking at the process activity on its own.
Map the Elements Connected to the Change
The impact of a proposed change can be examined across several connected elements:
- Roles and responsibilities involved in performing or managing the work
- Documents created, used or affected by the process
- Business rules that govern activities or decisions
- Systems that support or enable the process
- Interconnected processes that depend on the changed activity
Looking at these elements together provides a broader picture of the change and the areas that may need to be addressed alongside it.
Anticipate What Implementation Will Require
Once these dependencies are visible, teams can identify the practical implications of moving forward. A process change may require a role to take on different responsibilities, a document or business rule to be updated, or a supporting system to be modified.
Identifying these requirements early gives organisations the opportunity to account for them while evaluating the improvement, rather than discovering them after implementation has already begun.
Make Change Decisions With Greater Context
The value of Impact Analysis lies in making the scope of a proposed change visible before the change is made. It gives improvement teams a way to understand not just the activity they want to modify, but the network of elements connected to it.
That broader view can help organisations assess whether a proposed improvement is feasible, what preparation it will require and where potential issues need to be addressed before implementation.
Why Both Value and Impact Analysis Matter
Value Analysis and Impact Analysis provide two essential perspectives for evaluating a process improvement opportunity. Value Analysis shows where waste exists and where greater value can be created, while Impact Analysis reveals what could be affected when the process is changed.
Considering both before making an improvement decision helps organisations look beyond the immediate problem. They can assess whether a change offers meaningful value while also understanding its wider implications.
This creates a stronger basis for deciding which improvements are worth pursuing and what needs to be considered before implementation.
Accelerate Value and Impact Analysis With the Power of AI
The challenge is that detailed process analysis can itself require significant time and expertise.
As process landscapes grow, manually reviewing every process, identifying waste, finding improvement opportunities, and assessing future-state scenarios can become a bottleneck.
This is where AI can accelerate the analysis itself.
There are AI Tools for process analysis, like Digital Process Analyst by PRIME BPM, which uses intelligence to scan process maps and give automatic insights into inefficiencies across process structure, flow, roles, handoffs, approvals, and exceptions. It is designed to reduce the manual effort involved in process analysis and allow BPM teams to focus more on implementation and improvement.
Identify Waste and Delays Faster
The AI tool can provide a faster way to identify where your team is putting unnecessary time, effort, and cost. It can also identify repetitive, manual and rule-based activities that may present automation opportunities.
This can accelerate the early stages of Value Analysis by helping teams quickly focus attention on activities that warrant closer examination.
Move Quickly From a Long List of Issues to Prioritised Opportunities
Finding problems is not enough.
Improvement teams need to know which opportunities are worth pursuing first.
AI generates a prioritised list of improvement opportunities based on impact and value, giving teams a focused improvement roadmap rather than requiring them to work through lengthy analysis reports manually.
It can also identify opportunities for automation, standardisation and centralisation, helping organisations consider different approaches to improving a process.
Evaluate Future States Before Making the Change
AI can also accelerate what happens after an improvement opportunity has been identified.
Process analysts can use AI tools to simulate future-state scenarios and compare potential improvements in process time, cost and efficiency before implementing a change.
The strongest improvement ideas are the ones that deliver the best overall outcome when teams consider both their expected benefits and implications.
Bring Consistency to Analysis at Scale
AI can also help organisations apply a more consistent approach across a large process landscape.
For example, using Digital Process Analyst by PRIME BPM, teams can evaluate processes against 37 critical data points, including areas such as compliance, accuracy and efficiency. They can also benchmark processes against internal best practices and industry standards.
This can be particularly useful for organisations managing large transformation, standardisation or compliance programmes, where relying entirely on manual analysis can create analyst bottlenecks and inconsistent outcomes.
Importantly, AI performs more of the analytical heavy lifting, while people validate and prioritise the insights and focus on design and change delivery.
Better Analysis Creates Better Improvement Decisions
The quality of a process improvement decision depends on how well an organisation understands the opportunity before acting on it.
When teams understand where processes lose value, what resources they consume and what a proposed change could affect, they can focus their efforts on improvements that genuinely matter to the business. They can also avoid spending time and resources on changes that offer limited value or create unnecessary complexity elsewhere.
AI-powered business process management software can take this approach further by helping teams analyse processes faster, uncover improvement opportunities and evaluate different future-state scenarios. Instead of relying entirely on manual analysis, teams can use AI to surface insights and spend more time applying business context and deciding what to change.
The goal is simple: give improvement teams the insight they need to choose the right changes and act with greater confidence.
Want to see how AI can help your team identify and evaluate process improvement opportunities?
Watch the 2-minute product demo to see how the Digital Process Analyst analyses processes, surfaces improvement opportunities, and helps teams evaluate potential changes.